AI Software Engineer

Apidel Technologies

  • Remote
  • 14 days ago
  • Remote
  • Contractor

Highlights

The candidate should have 5%2B years experience with the following: Experience with AI/ML deployment, Agent deployment, LLM integration,Retrieval-Augmented Generation (RAG) patterns, cloud architecture, API integration, observability, and production readiness. While scheduling is the primary focus, the team also supports additional patient experience and care navigation use cases, including AI-powered tools that help answer patient questions before and after medical procedures.

Numbers & Facts

LocationRemote (
Remote
)
Job TypeContractor

Description

Location: Remote

Description:
As an AI Software Engineer at  , you will be responsible for designing, developing, and deploying world-class Decision Intelligence and AI-enabled products for our customers. These solutions have far-reaching impact across aspects including patient care, team member and patient experience, clinical and back-office operations, and system financial . You will work as part of a product team with other engineers, data scientists, architects, product managers, and product designers. You will also share in the responsibility for our products achieving the target outcomes for the business problems they are meant to solve. As such, you will be a key player in the continuous Product Discovery and Product Delivery lifecycles to ideate, prototype, launch, learn, and increasingly improve each iteration of our products. A positive, get to yes attitude, seeking to find a solution that meets viability, value, feasibility, and usability objectives.
The candidate should have 5%2B years experience with the following:
Experience with AI/ML deployment, Agent deployment, LLM integration,Retrieval-Augmented Generation (RAG) patterns, cloud architecture, API integration, observability, and production readiness.
Experience with understanding the process for deploying AI/ML models to Azure cloud platform. Strong understanding of cloud computing, containerization, and DevSecOps practices
Proficient working with semi-structured file formats and NoSQL databases
Proficiency in at least one common programming language, such as Python or Java.
Experience with AI application frameworks (e.g., LangChain, LlamaIndex).
Familiarity with Responsible AI principles, such as fairness, bias mitigation, and model explainability.
Experience in the care industry or knowledge of HIPAA privacy and security rules.
Design and implement scalable and efficient ML Ops pipelines for ingesting, processing, and storing large volumes of structured and unstructured data

Interview Process:

1 round with hiring manager

Position Summary
Is hiring two AI Software Developer III contractors to support the Patient Experience team within the Institute of Innovation and Artificial Intelligence (IAI). The primary focus of these roles will be developing AI-driven solutions that automate and standardize patient scheduling across the organization. The team develops solutions that interact with patients through voice, phone, SMS, chat, and email channels.
While scheduling is the primary focus, the team also supports additional patient experience and care navigation use cases, including AI-powered tools that help answer patient questions before and after medical procedures.
This is not a machine learning research role. Candidates will not be building foundational AI models from scratch. Instead, they will be developing and implementing agentic AI solutions, voice agents, integrations, APIs, and production-ready applications. The hiring team emphasized that this is first and foremost a software engineering position with an AI focus.

Required Qualifications
Minimum of 5%2B years of professional software engineering or application development experience
Experience developing and integrating APIs
Experience with CI/CD pipelines and source control repositories
Experience working in cloud environments
Strong understanding of software development lifecycle and end-to-end application delivery
Hands-on experience with AI applications, agentic AI concepts, and tool-calling frameworks
Strong coding skills and ability to complete live coding exercises during interviews
Ability to independently troubleshoot and solve technical problems
Experience in software engineering/application development is required over data analytics or data science-only backgrounds

Top Qualifications
Strong software engineering foundation with experience developing scalable applications
Experience building agentic AI applications and AI-powered workflows
Experience creating voice agents and conversational AI solutions
Backend and full-stack development experience
Python experience preferred
Experience working with cloud technologies (Azure preferred)
Experience integrating APIs into enterprise applications
Strong understanding of application architecture and production deployments

Preferred Differentiators - Candidates will Stand out if they have:
Epic EMR experience, particularly Epic Hyperspace and Epic API integrations
Epic certification
care industry experience
Experience working with EMR/EHR systems
Experience supporting patient scheduling workflows
Experience supporting care navigation or patient engagement initiatives
Voice AI development experience
Full-stack development skills with frontend exposure
Azure cloud experience

Additional Assignment Details
Two openings available at the same Level III seniority level
Hiring manager interview will generally be one 60 to 90-minute interview
Additional team members may join interviews as needed
Live coding assessment will be included during the interview process
AI assistance is prohibited during interviews
Hiring team prefers quality over quantity and is requesting no more than two highly vetted candidates per vendor

Candidate Submissions Should Include:
Summary of screening completed
Explanation of why the candidate is a fit
Internal candidate rating or scorecard
Assessment of technical strengths and relevant experience
care experience is preferred but not required
Python is preferred but not required
Azure is preferred but not required
Epic experience is considered a significant advantage and can immediately elevate a candidate's standing
Candidates with primarily data analytics or data science backgrounds who lack software engineering experience will likely not be a fit

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